Danial Kooshki
Audio Programmer | DSP Engineer | Audio Plugin Developer | Sound Engineer
Professional Profile
Audio Programmer, DSP Engineer, and Sound Engineer with more than 22 years of professional experience across music production, audio engineering, software development, and audio technology innovation.
Founder of Vexon Audio Ltd, where I design, develop, and release commercial audio software products for musicians, producers, and audio professionals using modern C++, JUCE, and digital signal processing techniques.
My work combines deep practical knowledge of music production and audio workflows with software engineering, DSP research, machine learning for audio, and cross-platform application development.
Founder & Lead Audio Software Developer
Founded and lead the development of commercial audio software products for macOS and Windows.
- Audio software architecture
- Modern C++ and JUCE development
- DSP design and implementation
- Cross-platform VST3, AU, and standalone deployment
- Testing, release workflows, and product documentation
- Audio research, prototyping, and product design
Commercial Software Products
Vexon ROAR
Bass Tone Processor
Commercial audio plugin designed for bass players, producers, and mixing engineers, focused on harmonic enhancement, dynamic tone shaping, bass character control, and mix-ready low-end processing.
Vexon Lumina
Optical Compressor
Modern optical compressor plugin featuring program-dependent compression, analog-inspired behaviour, character modes, and real-time gain reduction control.
Vexon Mirra
Hybrid Convolution Reverb
Hybrid reverb processor combining convolution and algorithmic reverb techniques for flexible spatial processing and creative depth control.
PolyShimmer
Creative Shimmer Reverb
JUCE-based creative shimmer reverb processor using real-time DSP, pitch-shifted ambience layers, and spatial sound design concepts.
TriBeat
Rhythm Design Tool
JUCE-based rhythm design tool focused on advanced rhythmic structures, timing experimentation, and polyrhythmic performance workflows.
IR Extractor Utility
Impulse Response Tool
Deconvolution-based utility for generating impulse responses from recorded material for use in production and audio design workflows.
Audio Technology Projects
AI-Driven Guitar Sound Morphing
SAE Institute dissertation project exploring Differentiable Digital Signal Processing (DDSP) for expressive timbre transformation and instrument modelling.
DDSP Timbre Transfer System
Designed and trained machine-learning models for instrument timbre transformation using differentiable DSP techniques, PyTorch, ONNX workflows, and audio feature extraction.
Music Genre Classification
Built supervised machine-learning systems for audio classification using TensorFlow and Keras.
Interactive Audio & Game Audio
Designed interactive audio systems using FMOD, Unreal Engine, Max/MSP, and TouchDesigner.
- Adaptive music systems
- Event-driven audio behaviours
- Middleware integration
- Gameplay-triggered audio systems
- Parameter-controlled sound design
- Interactive audio and visual prototyping
Professional Audio Experience
Produced, edited, mixed, and mastered commercial music productions across multiple genres.
Managed studio operations, recording projects, production workflows, and technical standards.
Taught performance, music production fundamentals, recording techniques, and practical musicianship.
Selected Creative Work
Album “13”
Bass performance and mix engineering contribution for a multi-genre rock/fusion release.
Reverse Silence
Composition, arrangement, and production leadership within Khardal.
Human
Original theatre soundtrack and narrative-driven sound design.
Media & Recognition
Featured across media platforms and professional publications, including Manoto TV, Musicema, Milan Weekly, SAE Institute UK, Foundation for Iranian Studies US, and Niavaran Cultural Center.
Additional media appearances, evidence, and portfolio materials are available upon request.
Education
Certifications
- Dante Level 1
- Dante Level 2
- Audio Signal Processing for Music Applications, Stanford University / Coursera
- Machine Learning Specialization, Stanford University / Coursera
- Pro Tools Essential Training
Technical Skills
References
Available upon request.